Title
Designing trading agents for real-world auctions
Abstract
Online auctions have become a popular method for business transactions The variety of different auction rules, restrictions in supply or demand, and the agents' combinatorial preferences for sets of goods, mean that realistic scenarios are very complex Using game theory, we design trading strategies for participating in a single auction or group of similar auctions A number of concerns need to be considered in order to account for all the relevant features of real-world auctions; these include: budget constraints, uncertainty in the value of the desired goods, the auction reserve prices, the bidders' attitudes towards risk, purchasing multiple units, competition and spitefulness between bidders, the existence of multiple sources for each good To design a realistic agent, it is necessary to analyze the multi-unit auctions in which a combination of these issues are present together and we have made significant progress towards this goal Furthermore, we use a principled methodology, utilizing empirical evaluation, to combine these results into the design of agents capable of bidding in the general real-world scenarios.
Year
DOI
Venue
2010
10.1007/978-3-642-12842-4_31
SETN
Keywords
Field
DocType
online auction,single auction,multi-unit auction,real-world auction,general real-world scenario,auction reserve price,different auction rule,multiple unit,multiple source,similar auction,trading agent,budget constraint,game theory,trading strategy
English auction,Vickrey auction,Unique bid auction,Combinatorial auction,Computer science,Microeconomics,Auction theory,Common value auction,Artificial intelligence,Reverse auction,Forward auction,Machine learning
Conference
Volume
ISSN
ISBN
6040
0302-9743
3-642-12841-6
Citations 
PageRank 
References 
0
0.34
13
Authors
2
Name
Order
Citations
PageRank
Ioannis A. Vetsikas18911.77
Nicholas R. Jennings2193481564.35